from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting(against_lib="sklearnex", config="config.yml")
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time sklearnex. For instance, a speedup of 2 means that sklearnex is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.663 | 0.687 | 0.024 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.757 | 0.742 | 0.015 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.882 | 0.875 | 0.007 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 1.000 | 0.000 | 1.000 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.882 | 0.875 | 0.007 |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 1.000 | 0.000 | 1.000 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.757 | 0.742 | 0.015 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 0.663 | 0.687 | 0.024 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.896 | 0.967 | 0.071 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.922 | 0.974 | 0.052 |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.929 | 0.975 | 0.046 |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.929 | 0.975 | 0.046 |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.922 | 0.974 | 0.052 |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 0.896 | 0.967 | 0.071 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.016 | 0.001 | 4.883 | 0.0 | -1 | 1 | 0.069 | 0.005 | 0.237 | 0.238 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.016 | 0.000 | 4.937 | 0.0 | -1 | 5 | 0.069 | 0.001 | 0.235 | 0.235 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.016 | 0.001 | 4.878 | 0.0 | 1 | 100 | 0.067 | 0.001 | 0.244 | 0.244 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.016 | 0.000 | 5.032 | 0.0 | -1 | 100 | 0.070 | 0.003 | 0.227 | 0.227 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.017 | 0.001 | 4.810 | 0.0 | 1 | 5 | 0.071 | 0.002 | 0.235 | 0.235 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.017 | 0.001 | 4.846 | 0.0 | 1 | 1 | 0.069 | 0.002 | 0.238 | 0.238 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.345 | 0.0 | -1 | 1 | 0.009 | 0.000 | 0.489 | 0.489 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.324 | 0.0 | -1 | 5 | 0.009 | 0.000 | 0.525 | 0.526 | See | See |
| 24 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.336 | 0.0 | 1 | 100 | 0.010 | 0.000 | 0.475 | 0.475 | See | See |
| 27 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.006 | 0.001 | 0.285 | 0.0 | -1 | 100 | 0.010 | 0.000 | 0.588 | 0.588 | See | See |
| 30 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.321 | 0.0 | 1 | 5 | 0.010 | 0.001 | 0.503 | 0.506 | See | See |
| 33 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.000 | 0.326 | 0.0 | 1 | 1 | 0.010 | 0.000 | 0.502 | 0.503 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.571 | 0.223 | 0.0 | 0.003 | -1 | 1 | 0.457 | 0.013 | 5.630 | 5.632 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.036 | 0.005 | 0.0 | 0.036 | -1 | 1 | 0.015 | 0.001 | 2.505 | 2.507 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 3.395 | 0.047 | 0.0 | 0.003 | -1 | 5 | 0.467 | 0.015 | 7.270 | 7.274 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.035 | 0.003 | 0.0 | 0.035 | -1 | 5 | 0.014 | 0.001 | 2.470 | 2.478 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.683 | 0.028 | 0.0 | 0.003 | 1 | 100 | 0.514 | 0.008 | 5.216 | 5.217 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.031 | 0.002 | 0.0 | 0.031 | 1 | 100 | 0.014 | 0.000 | 2.206 | 2.206 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 3.457 | 0.049 | 0.0 | 0.003 | -1 | 100 | 0.517 | 0.010 | 6.691 | 6.692 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.036 | 0.005 | 0.0 | 0.036 | -1 | 100 | 0.016 | 0.003 | 2.264 | 2.298 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.688 | 0.028 | 0.0 | 0.003 | 1 | 5 | 0.461 | 0.007 | 5.824 | 5.825 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.033 | 0.003 | 0.0 | 0.033 | 1 | 5 | 0.014 | 0.000 | 2.314 | 2.315 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.822 | 0.012 | 0.0 | 0.002 | 1 | 1 | 0.458 | 0.018 | 3.977 | 3.980 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.032 | 0.003 | 0.0 | 0.032 | 1 | 1 | 0.015 | 0.002 | 2.149 | 2.160 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.097 | 0.068 | 0.0 | 0.002 | -1 | 1 | 0.101 | 0.002 | 20.681 | 20.688 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.004 | 0.0 | 0.006 | -1 | 1 | 0.001 | 0.000 | 9.212 | 9.321 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 3.053 | 0.063 | 0.0 | 0.003 | -1 | 5 | 0.100 | 0.001 | 30.402 | 30.405 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.001 | 0.0 | 0.006 | -1 | 5 | 0.001 | 0.000 | 9.631 | 9.788 | See | See |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.405 | 0.021 | 0.0 | 0.002 | 1 | 100 | 0.161 | 0.005 | 14.900 | 14.906 | See | See |
| 26 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.004 | 0.001 | 0.0 | 0.004 | 1 | 100 | 0.001 | 0.000 | 5.036 | 5.110 | See | See |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 3.036 | 0.051 | 0.0 | 0.003 | -1 | 100 | 0.162 | 0.004 | 18.768 | 18.774 | See | See |
| 29 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.007 | 0.002 | 0.0 | 0.007 | -1 | 100 | 0.001 | 0.000 | 8.728 | 8.828 | See | See |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.387 | 0.024 | 0.0 | 0.002 | 1 | 5 | 0.103 | 0.003 | 23.073 | 23.082 | See | See |
| 32 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | 0.0 | 0.003 | 1 | 5 | 0.001 | 0.000 | 5.158 | 5.220 | See | See |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.477 | 0.025 | 0.0 | 0.001 | 1 | 1 | 0.101 | 0.003 | 14.567 | 14.575 | See | See |
| 35 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.002 | 0.000 | 0.0 | 0.002 | 1 | 1 | 0.001 | 0.000 | 3.376 | 3.417 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.929 | 0.910 | 0.019 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.946 | 0.941 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.951 | 0.940 | 0.011 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.951 | 0.940 | 0.011 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.946 | 0.941 | 0.005 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.929 | 0.910 | 0.019 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.891 | 0.879 | 0.012 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.911 | 0.905 | 0.006 |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.894 | 0.917 | 0.023 |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.894 | 0.917 | 0.023 |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.911 | 0.905 | 0.006 |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.891 | 0.879 | 0.012 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.358 | 0.105 | 0.024 | 0.0 | -1 | 1 | 0.948 | 0.091 | 3.543 | 3.559 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.787 | 0.058 | 0.017 | 0.0 | -1 | 5 | 0.899 | 0.013 | 5.322 | 5.322 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.429 | 0.102 | 0.018 | 0.0 | 1 | 100 | 0.865 | 0.011 | 5.123 | 5.123 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.361 | 0.084 | 0.018 | 0.0 | -1 | 100 | 0.925 | 0.013 | 4.715 | 4.716 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.405 | 0.187 | 0.018 | 0.0 | 1 | 5 | 0.873 | 0.013 | 5.043 | 5.044 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.292 | 0.110 | 0.019 | 0.0 | 1 | 1 | 0.909 | 0.015 | 4.722 | 4.722 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.015 | 0.0 | -1 | 1 | 0.004 | 0.002 | 0.251 | 0.280 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.023 | 0.0 | -1 | 5 | 0.002 | 0.001 | 0.398 | 0.521 | See | See |
| 24 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.026 | 0.0 | 1 | 100 | 0.001 | 0.000 | 0.503 | 0.537 | See | See |
| 27 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.024 | 0.0 | -1 | 100 | 0.001 | 0.000 | 0.598 | 0.604 | See | See |
| 30 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.023 | 0.0 | 1 | 5 | 0.001 | 0.001 | 0.553 | 0.624 | See | See |
| 33 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | 0.023 | 0.0 | 1 | 1 | 0.001 | 0.000 | 0.649 | 0.651 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.022 | 1.203 | 0.000 | 0.001 | -1 | 1 | 0.161 | 0.003 | 6.361 | 6.362 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | 0.000 | 0.004 | -1 | 1 | 0.000 | 0.000 | 9.294 | 10.592 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.345 | 0.448 | 0.000 | 0.001 | -1 | 5 | 0.282 | 0.008 | 4.771 | 4.773 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | 0.000 | 0.004 | -1 | 5 | 0.000 | 0.000 | 8.135 | 8.677 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 7.718 | 0.702 | 0.000 | 0.008 | 1 | 100 | 0.893 | 0.025 | 8.646 | 8.649 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.004 | 0.001 | 0.000 | 0.004 | 1 | 100 | 0.001 | 0.000 | 3.701 | 3.965 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.956 | 0.413 | 0.000 | 0.004 | -1 | 100 | 0.862 | 0.012 | 4.589 | 4.590 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.006 | 0.001 | 0.000 | 0.006 | -1 | 100 | 0.001 | 0.000 | 6.782 | 7.092 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 2.260 | 0.540 | 0.000 | 0.002 | 1 | 5 | 0.294 | 0.008 | 7.697 | 7.700 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.001 | 0.000 | 0.002 | 1 | 5 | 0.001 | 0.000 | 3.282 | 3.524 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.286 | 0.378 | 0.000 | 0.001 | 1 | 1 | 0.153 | 0.002 | 8.416 | 8.417 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.000 | 0.000 | 3.734 | 3.976 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.035 | 0.019 | 0.000 | 0.000 | -1 | 1 | 0.001 | 0.000 | 60.588 | 60.795 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 1 | 0.000 | 0.000 | 20.093 | 20.386 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.034 | 0.003 | 0.000 | 0.000 | -1 | 5 | 0.001 | 0.000 | 38.829 | 38.889 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 5 | 0.000 | 0.000 | 18.019 | 18.505 | See | See |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.046 | 0.011 | 0.000 | 0.000 | 1 | 100 | 0.006 | 0.000 | 7.886 | 7.891 | See | See |
| 26 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 100 | 0.000 | 0.000 | 5.243 | 5.364 | See | See |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.054 | 0.010 | 0.000 | 0.000 | -1 | 100 | 0.007 | 0.002 | 7.948 | 8.334 | See | See |
| 29 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 100 | 0.000 | 0.000 | 17.677 | 18.098 | See | See |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.031 | 0.001 | 0.001 | 0.000 | 1 | 5 | 0.001 | 0.000 | 35.516 | 35.540 | See | See |
| 32 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 0.000 | 0.000 | 5.273 | 5.349 | See | See |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.029 | 0.001 | 0.001 | 0.000 | 1 | 1 | 0.001 | 0.000 | 50.351 | 50.677 | See | See |
| 35 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.000 | 0.000 | 5.708 | 5.808 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.687 | 0.195 | 30 | 0.023 | 0.0 | random | 0.334 | 0.016 | 2.057 | 2.060 | See | See |
| 3 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.740 | 0.089 | 30 | 0.022 | 0.0 | k-means++ | 0.379 | 0.007 | 1.950 | 1.951 | See | See |
| 6 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 8.589 | 0.206 | 30 | 0.093 | 0.0 | random | 4.943 | 0.115 | 1.738 | 1.738 | See | See |
| 9 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 9.134 | 0.071 | 30 | 0.088 | 0.0 | k-means++ | 5.091 | 0.064 | 1.794 | 1.794 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.001 | 30 | 0.007 | 0.000 | random | 0.0 | 0.0 | 7.917 | 11.107 | See | See |
| 2 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.002 | 0.000 | 30 | 0.000 | 0.002 | random | 0.0 | 0.0 | 12.524 | 12.651 | See | See |
| 4 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.000 | 30 | 0.007 | 0.000 | k-means++ | 0.0 | 0.0 | 9.498 | 10.353 | See | See |
| 5 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.002 | 0.002 | 30 | 0.000 | 0.002 | k-means++ | 0.0 | 0.0 | 14.241 | 14.569 | See | See |
| 7 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.354 | 0.000 | random | 0.0 | 0.0 | 7.258 | 7.791 | See | See |
| 8 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.002 | 0.000 | 30 | 0.000 | 0.002 | random | 0.0 | 0.0 | 10.896 | 11.376 | See | See |
| 10 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.371 | 0.000 | k-means++ | 0.0 | 0.0 | 6.804 | 7.406 | See | See |
| 11 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.002 | 0.000 | 30 | 0.000 | 0.002 | k-means++ | 0.0 | 0.0 | 11.447 | 11.568 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | adjusted_rand_score_sklearn | adjusted_rand_score_sklearnex | diff_adjusted_rand_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.000126 | -0.000965 | 0.001090 |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.001245 | -0.000750 | 0.001995 |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.278733 | 0.293767 | 0.015034 |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.317011 | 0.256968 | 0.060044 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | fit | 10000 | 10000 | 2 | 0.109 | 0.004 | 20 | 0.001 | 0.0 | random | 0.059 | 0.004 | 1.866 | 1.871 | See | See |
| 3 | KMeans_short | fit | 10000 | 10000 | 2 | 0.331 | 0.007 | 20 | 0.000 | 0.0 | k-means++ | 0.147 | 0.005 | 2.249 | 2.250 | See | See |
| 6 | KMeans_short | fit | 10000 | 10000 | 100 | 0.365 | 0.006 | 20 | 0.022 | 0.0 | random | 0.287 | 0.005 | 1.270 | 1.270 | See | See |
| 9 | KMeans_short | fit | 10000 | 10000 | 100 | 1.221 | 0.021 | 20 | 0.007 | 0.0 | k-means++ | 0.681 | 0.007 | 1.791 | 1.792 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.000 | 20 | 0.007 | 0.000 | random | 0.001 | 0.0 | 3.213 | 3.225 | See | See |
| 2 | KMeans_short | predict | 10000 | 1 | 2 | 0.002 | 0.000 | 20 | 0.000 | 0.002 | random | 0.000 | 0.0 | 10.902 | 11.014 | See | See |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.000 | 20 | 0.007 | 0.000 | k-means++ | 0.001 | 0.0 | 3.194 | 3.205 | See | See |
| 5 | KMeans_short | predict | 10000 | 1 | 2 | 0.002 | 0.000 | 20 | 0.000 | 0.002 | k-means++ | 0.000 | 0.0 | 9.957 | 10.112 | See | See |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.004 | 0.000 | 20 | 0.220 | 0.000 | random | 0.002 | 0.0 | 2.222 | 2.234 | See | See |
| 8 | KMeans_short | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | 0.000 | 0.002 | random | 0.000 | 0.0 | 9.202 | 9.390 | See | See |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.004 | 0.001 | 20 | 0.199 | 0.000 | k-means++ | 0.002 | 0.0 | 2.507 | 2.513 | See | See |
| 11 | KMeans_short | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | 0.000 | 0.002 | k-means++ | 0.000 | 0.0 | 9.121 | 9.176 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | function | n_samples_train | n_samples | n_features | accuracy_score_sklearn | accuracy_score_sklearnex | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.56 | 0.55 | 0.01 |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.35 | 0.28 | 0.07 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 1000000 | 1000000 | 100 | 19.512 | 0.381 | [20] | 0.041 | 0.000 | 3.787 | 0.104 | 5.152 | 5.154 | See | See |
| 3 | LogisticRegression | fit | 1000 | 1000 | 10000 | 1.722 | 0.821 | [26] | 0.046 | 0.002 | 1.778 | 0.032 | 0.968 | 0.969 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.001 | 0.001 | [20] | 1.325 | 0.0 | 0.001 | 0.002 | 0.559 | 1.200 | See | See |
| 2 | LogisticRegression | predict | 1000000 | 1 | 100 | 0.000 | 0.000 | [20] | 0.010 | 0.0 | 0.000 | 0.000 | 0.316 | 0.321 | See | See |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.003 | 0.000 | [26] | 2.891 | 0.0 | 0.008 | 0.001 | 0.359 | 0.360 | See | See |
| 5 | LogisticRegression | predict | 1000 | 1 | 10000 | 0.000 | 0.000 | [26] | 0.661 | 0.0 | 0.002 | 0.000 | 0.070 | 0.072 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | function | n_samples_train | n_samples | n_features | r2_score_sklearn | r2_score_sklearnex | diff_r2_scores | |
|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.082567 | 0.122191 | 0.039624 |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 1000 | 1000 | 10000 | 0.354 | 0.004 | 0.226 | 0.0 | 0.361 | 0.007 | 0.981 | 0.981 | See | See |
| 3 | Ridge | fit | 1000000 | 1000000 | 100 | 1.700 | 0.104 | 0.471 | 0.0 | 0.531 | 0.208 | 3.201 | 3.437 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.016 | 0.0 | 4.913 | 0.0 | 0.028 | 0.002 | 0.584 | 0.586 | See | See |
| 2 | Ridge | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | 0.867 | 0.0 | 0.000 | 0.000 | 0.552 | 0.611 | See | See |
| 4 | Ridge | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | 4.237 | 0.0 | 0.000 | 0.001 | 0.448 | 0.714 | See | See |
| 5 | Ridge | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | 0.010 | 0.0 | 0.000 | 0.000 | 0.627 | 0.649 | See | See |